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Moving object detection and tracking based on ZYNQ FPGA and ARM SOC

Moving object detection and tracking based on ZYNQ FPGA and ...

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IET International Radar Conference 2015

作者： Wenchao Liu He Chen Long Ma Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

In this paper, an FPGA-based moving object detection and tracking system is introduced for image processing application. The algorithms presented include object detection based on dynamic background difference, kalman filter for object tracking. The target device for the implementation is a Xilinx Zynq-7000 FPGA. The use of ARM dual core processor, NEON vector coprocessor unit and coprocessing IP peripherals generated by vivado HLS aim to improve the data processing ability of the system. In the dynamic background, the system realized accurate detection and tracking of moving objects in real-time.

关键词： FPGA Kalman filter Object detection and tracking dynamic background difference image processing Object detection Field programmable gate arrays moving target detection Kalman filters Image processing target device tracking TRACKING SYSTEM

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A new reconfigurable methodology to implement the shiftand-correlate (SAC) algorithm for real-time SAR autofocusing

A new reconfigurable methodology to implement the shiftand-c...

引用

IET International Radar Conference 2015

作者： Li, Bingyi Xie, Yizhuang Liu, Xiaoning Deng, Yi Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China Research Institute of Radar Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China ECE Department of Virginia Polytechnic Institute State University Falls ChurchVA United States

ISBN: (纸本)9781849199940

Doppler Frequency Rate (FDR) is an essential parameter in the procedure of Synthetic Aperture Radar (SAR) processing. In this paper, we investigate an achievable autofocus algorithm, shift-and-correlate (SAC), and design the implementation of FDR estimation. The proposed method can dramatically improve the accuracy of imaging and reduce the time delay of the SAR imaging process. Depth-of-focus theory and linear fitting theory are discussed in this paper for decreasing the computation-consumption and the preserving precision. We verify the proposed method in a 16384∗16384 SAR imaging process at 100 MHz system clock on a dedicated designed Field Programmable Gate Array (FPGA) tested. To testify the feasibility of the proposed method, we compared our run-out results with existing implementations using traditional DSP and MATLAB methods in terms of real-time performance and imaging quality.

关键词： Synthetic aperture radar

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Methods to improve system verification efficiency in FPGA-based spaceborne SAR image processing system

Methods to improve system verification efficiency in FPGA-ba...

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IET International Radar Conference 2015

作者： Zhu Yang Teng Long Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

With the rapid development of satellite-based signal processing technologies comes the widespread deployment of SAR image processing systems in spaceborne applications, many of which are implemented as FPGAbased systems thanks to the introduction of modern programmable devices with high capacity and complexity. However, as raw data of SAR satellites grow in size and bandwidth the effective implementation and especially the efficient system verification are emerging as the bottleneck in the development of FPGA-based SAR image processing systems. This paper proposes methods in the verification phase of FPGA-based SAR processing system development which on one hand increases the verification speed during simulations and on the other addresses the hardware/Matlab mismatch issue through comparison of floating point numbers on grounds of error analysis from a mathematical approach. Actual development process indicate that the proposed methods guarantee quick design convergence, and test results on real hardware confirm that the SAR image processing system offers acceptable quality of image output.

关键词： SAR imaging systems System-level verification Spaceborne SAR Image processing system FPGA implementation Image processing systems Synthetic aperture radar Specific absorption rate Rescue SAFETY ANALYSIS REPORTS Radar polarimetry System testing Verification Image processing FLOATING POINTS Systems development

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Implementation on FPGA for CORDIC-based computation of arcsine and arccosine

Implementation on FPGA for CORDIC-based computation of arcsi...

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IET International Radar Conference 2015

作者： Xiaoning Liu Yizhuang Xie He Chen Bingyi Li Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

This paper concentrates on the hardware implementation of CORDIC algorithm for computing inverse trigonometric functions like arcsine and arccosine. We improve the existing algorithm by changing the initial rotating vector of the iterations and modifying the judging condition of rotation direction. Due to the improvement, two iterations are saved and the drawback of the previous algorithm is corrected. In contrasting with the previous implementation, the improved algorithm consumes less hardware resources and its computing results are more accuracy.

关键词： CORDIC Double Iteration Algorithm Arcsine Arccosine Digital arithmetic Field programmable gate arrays direction of rotation iterative methods algorithms rotation vector

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Design and implementation of ASIC verification platform for the SAR algorithm

Design and implementation of ASIC verification platform for ...

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IET International Radar Conference 2015

作者： Zhubin Wang Chen Yang He Chen Yu Xie Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

This paper presents a method of the implementation of a verification platform. The platform is applied to an ASIC chip designed for the key algorithm of SAR signal processing. The design is a complicated process and the chip function is computationally burdensome, thus the verification is difficult. Balancing the competing demands for efficiency, quality, time and cost, the verification platform is carefully designed using the Verilog language, with Synopsys VCS-MX2009 adopted. The experimental results show that the design errors of timing and anti-protocols have been exactly checked out and the verification coverage reaches 100% at last. The platform possesses satisfying characteristics such as high performance, fine configurability, flexibility and expansibility.

关键词： ASIC Chirp Scaling Algorithm Synthetic Aperture Radar Verification platform ASIC application specific integrated circuits Synthetic aperture radar design error Verification Platform EXPANSIVITY Rescue Specific absorption rate SAFETY ANALYSIS REPORTS

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Change detection in optical remote sensing images based on watershed segmentation

Change detection in optical remote sensing images based on w...

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IET International Radar Conference 2015

作者： Zhihong Mai Hao Shi Yizhuang Xie Long Ma Bejing key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

A novel approach is presented for change detection of very high resolution (VHR) remote sensing images in this paper, which is achieved by an improved watershed segmentation and mutual correlation. Specifically, the input multitemporal images are watershed segmented separately in the first stage. And then fuse the segmentation regions of two segmented images, which is also a combination of object outlines in other words. Finally, the change mask can be acquired by the mutual correlation method. Experimental results show the superiority of the proposed method over the Markov random filed (MRF) method to the VHR urban optical remote sensing images.

关键词： change detection mutual correlation region fusion remote sensing watershed segmentation

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Implementation of memory architecture for real-time spaceborne SAR imaging system

Implementation of memory architecture for real-time spacebor...

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IET International Radar Conference 2015

作者： Zhiliu Yang Zhu Yang Shan Dong Liang Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

Due to the existence of the large scale matrix transposition, the memory bandwidth becomes the bottleneck of the real-time processing in spaceborne SAR imaging. The paper reports a preliminary study result of the memory architecture in the spaceborne SAR imaging system. It consists of algorithm summarizations, implementation difficulty discussions and processing requirement analysis. Then, a new memory architecture is being proposed to improve memory access efficiency and its implementation is specified. Finally, results of different methods are compared and imaging results validates the presented memory architecture.

关键词： Spaceborne SAR imaging Interleaving Matrix transposition Memory architecture Memory architecture matrix transpose Radar polarimetry Memory Memory memory bandwidth real-time process Imaging

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Relative radiometric correction for remote sensing images based on VIVADO HLS

Relative radiometric correction for remote sensing images ba...

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IET International Radar Conference 2015

作者： Zeng-zeng Jia Bao-gui Qi Liang Chen He Chen Long Ma Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

This paper proposes and implements the relative radiometric correction for remote sensing images based on Vivado HLS with FPGA. This design not only simplifies the development process, but successfully achieved the purpose of improving the image quality of remote sensing image. Firstly, this paper gives a brief analysis on the radiometric correction algorithm based on histogram matching correction, and then using C to complete the hardware development of FPGA by HLS. The results validate the feasibility of histogram correction based on HLS.

关键词： FPGA HLS histogram matching radiometric correction

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An optimized water detection algorithm for SAR images utilizing SOPC technologies

An optimized water detection algorithm for SAR images utiliz...

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IET International Radar Conference 2015

作者： Liu, Yan Li, Lin Xie, Yizhuang Chen, Liang Deng, Yi Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China ECE Department of Virginia Polytechnic Institute State University Falls ChurchVA22124 United States Beijing Institute of Remote Sensing China

ISBN: (纸本)9781849199940

This paper investigates a water detection algorithm of region-of-interest extraction based on the combination of sobel edge detection and contrast stretching transformation. The implementation of the proposed method is utilized for SAR (Synthetic Aperture Radar) imaging with SOPC (Systems on a Programmable Chip) embedded technology. It also puts forward an effective and realizable approach for the parallel processing data. The water detection algorithm is first optimized for SOPC system and is implemented on Xilinx Zynq-7020 chip with dual cortex-A9 ARM processors. As a result, the average consumption time of water detection algorithm reduces over 38 percent, which ensures the real-time requirement in the real-time object detection system.

关键词： Synthetic aperture radar

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Locally linear representation manifolds margin 11th

Locally linear representation manifolds margin

引用

11th International Conference on Intelligent Computing, ICIC 2015

作者： Li, Bo Wang, Yun-Qing Lei, Lei Fan, Zhang-Tao School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China

ISBN: (纸本)9783319221793

In this paper, a novel supervised multiple manifolds learning method is presented for dimensionality reduction, which is titled locally linear representation manifold margin (LLRMM). In the proposed LLRMM, both an inter-manifold graph and intra-manifold graph are constructed, where any point in the inter-manifold graph must select neighbors from other manifolds while the neighborhood in the intra-manifold graph are composed of samples from the same manifold. Then the least locally linear representation technique is introduced to optimize the reconstruction weights as well as the corresponding inter-manifold scatter and intra-manifold scatter, based on which manifolds margin can be reasoned. At last, a discriminant subspace is explored. Experiments on some benchmark face data sets have been conducted and experimental results show that the proposed method outperforms some related state-of-the-art dimensionality reduction methods. © Springer International Publishing Switzerland 2015.

关键词： Computers

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